#' Convert an object to list with identical structure
#'
#' This functions are similar to \code{rlist::list.parse} but this removes
#' names. \code{NA}s are removed for compatibility with rjson::toJSON.
#' 
#' @param df A data frame to parse to list
#' @examples
#'
#' x <- data.frame(a = 1:3, type = c("A", "C", "B"), stringsAsFactors = FALSE)
#' list_parse(x)
#' list_parse2(x)
#' @importFrom purrr transpose
#' @export
list_parse <- function(df) {
  
  assertthat::assert_that(is.data.frame(df))

  if (getOption("highcharter.rjson")) {
    rows <- nrow(df)
    df <- tidyr::drop_na(df)
    if (getOption("highcharter.verbose") && (rows > nrow(df))) {
      warning("Removed ", (rows - nrow(df)), " rows with NA's.")
    }
  }
  
  purrr::map_if(df, is.factor, as.character) %>%
    as_tibble() %>%
    list.parse() %>%
    setNames(NULL)
  
}

#' @importFrom rlist list.parse
#' @rdname list_parse
#' @export
list_parse2 <- function(df) {
  
  assertthat::assert_that(is.data.frame(df))

  list_parse(df) %>%
    map(setNames, NULL)
}

#' String to 'id' format
#'
#' Turn a string to \code{id} format used in treemaps.
#'
#' @param x A vector string.
#'
#' @examples
#'
#' str_to_id(" A string _ with sd / sdg    Underscores \   ")
#' @export
str_to_id <- function(x) {
  
  assertthat::assert_that(is.character(x) | is.factor(x))

  x %>%
    as.character() %>%
    stringr::str_trim() %>%
    stringr::str_to_lower() %>%
    stringr::str_replace_all("\\s+", "_") %>%
    stringr::str_replace_all("\\\\|/", "_") %>%
    stringr::str_replace_all("\\[|\\]", "_") %>%
    stringr::str_replace_all("_+", "_") %>%
    stringr::str_replace_all("_$|^_", "")
  
}

#' @rdname str_to_id
str_to_id_vec <- function(x){
  
  # x <- c("A_ aa", "A_  Aa", "a_   aa"
  
  tibble(
    var = x,
    id = str_to_id(x),
    un = cumsum(duplicated(id))
  ) %>%
    mutate(
      un = ifelse(un == 0, "", str_c("_", un)),
      id2 = str_c(id, un)
    ) %>% 
    pull("id2")
  
}


#' Date to timestamps
#'
#' Turn a date time vector to \code{timestamp} format
#'
#' @param dt Date or datetime vector
#'
#' @examples
#'
#' datetime_to_timestamp(
#'   as.Date(c("2015-05-08", "2015-09-12"),
#'     format = "%Y-%m-%d"
#'   )
#' )
#' @export
datetime_to_timestamp <- function(dt) {

  # http://stackoverflow.com/questions/10160822/
  assertthat::assert_that(assertthat::is.date(dt) | assertthat::is.time(dt))

  tmstmp <- as.numeric(as.POSIXct(dt))

  tmstmp <- 1000 * tmstmp

  tmstmp
}

#' @rdname datetime_to_timestamp
#' @export
dt_tstp <- datetime_to_timestamp

#' Transform colors from hexadecimal format to rgba hc notation
#'
#' @param x colors in hexadecimal format
#' @param alpha alpha
#'
#' @examples
#'
#' hex_to_rgba(x <- c("#440154", "#21908C", "#FDE725"))
#' @importFrom grDevices col2rgb
#' @importFrom tidyr unite_
#' @export
hex_to_rgba <- function(x, alpha = 1) {
  
  x %>%
    col2rgb() %>%
    t() %>%
    as.data.frame() %>%
    unite_(col = "rgba", from = c("red", "green", "blue"), sep = ",") %>%
    .[[1]] %>%
    sprintf("rgba(%s,%s)", ., alpha)
  
}

#' Chart a demo for testing themes
#'
#' Chart a demo for testing themes
#'
#' @examples
#'
#' highcharts_demo()
#' 
#' @export
highcharts_demo <- function() {
  
  dtemp <- structure(
    list(
      month = c(
        "Jan", "Feb", "Mar", "Apr", "May", "Jun",
        "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"
      ),
      tokyo = c(
        7, 6.9, 9.5, 14.5, 18.2, 21.5,
        25.2, 26.5, 23.3, 18.3, 13.9, 9.6
      ),
      new_york = c(
        -0.2, 0.8, 5.7, 11.3, 17, 22,
        24.8, 24.1, 20.1, 14.1, 8.6, 2.5
      ),
      berlin = c(
        -0.9, 0.6, 3.5, 8.4, 13.5, 17,
        18.6, 17.9, 14.3, 9, 3.9, 1
      ),
      london = c(
        3.9, 4.2, 5.7, 8.5, 11.9, 15.2,
        17, 16.6, 14.2, 10.3, 6.6, 4.8
      )
    ),
    .Names = c("month", "tokyo", "new_york", "berlin", "london"),
    row.names = c(NA, 12L), class = c("tbl_df", "tbl", "data.frame")
  )

  highchart() %>%
    hc_title(text = "Monthly Average Temperature") %>%
    hc_subtitle(text = "Source: WorldClimate.com") %>%
    hc_caption(text = "This is a caption text to show the style of this type of text") %>% 
    hc_credits(text = "Made with highcharter", href = "http://jkunst.com/highcharter/", enabled = TRUE) %>% 
    hc_yAxis(title = list(text = "Temperature")) %>%
    hc_xAxis(title = list(text = "Months")) %>%
    hc_xAxis(categories = dtemp$month) %>%
    hc_add_series(name = "Tokyo", data = dtemp$tokyo) %>%
    hc_add_series(name = "London", data = dtemp$london) %>%
    hc_add_series(name = "Berlin", data = dtemp$berlin)
  
}

#' Create vector of color from vector
#'
#' @param x A numeric, character or factor object.
#' @param colors A character string of colors (ordered) to colorize `x`
#' @examples
#'
#' colorize(runif(10))
#'
#' colorize(LETTERS[rbinom(20, 5, 0.5)], c("#FF0000", "#00FFFF"))
#' @importFrom grDevices colorRampPalette
#' @importFrom stats ecdf
#' @export
colorize <- function(x, colors = c("#440154", "#21908C", "#FDE725")) {
 
  nuniques <- length(unique(x))
  
  palcols <- grDevices::colorRampPalette(colors)(nuniques)

  if (!is.numeric(x) | nuniques < 10) {
    y <- as.numeric(as.factor(x))
    xcols <- palcols[y]
  } else {
    ecum <- ecdf(x)
    xcols <- palcols[ceiling(nuniques * ecum(x))]
  }

  xcols
  
}

#' Function to create \code{stops} argument in \code{hc_colorAxis}
#'
#' @param n A numeric indicating how much quantiles generate.
#' @param colors A character string of colors (ordered)
#'
#' @examples
#'
#' color_stops(5)
#' @export
color_stops <- function(n = 10, colors = c("#440154", "#21908C", "#FDE725")) {
  palcols <- grDevices::colorRampPalette(colors)(n)

  list_parse2(
    data.frame(
      q = seq(0, n - 1) / (n - 1),
      c = palcols
    )
  )
}

#' Function to create \code{dataClasses} argument in \code{hc_colorAxis}
#'
#' @param breaks A numeric vector
#' @param colors A character string of colors (ordered)
#'
#' @examples
#'
#' color_classes(c(0, 10, 20, 50))
#' @export
color_classes <- function(breaks = NULL,
                          colors = c("#440154", "#21908C", "#FDE725")) {
  lbrks <- length(breaks)

  list_parse(
    data.frame(
      from = breaks[-lbrks],
      to = breaks[-1],
      color = grDevices::colorRampPalette(colors)(lbrks - 1),
      stringsAsFactors = FALSE
    )
  )
}

#' Auxiliar function to get series and options from tidy frame for hchart.data.frame
#'
#' This function is used in hchart.data.frame and hc_add_series_df
#'
#' @param data A `data.frame` object.
#' @param type The type of chart. Possible values are line, scatter, point, column.
#' @param ... Aesthetic mappings as \code{x y group color low high}.
#'
#' @examples
#'
#' highcharter:::get_hc_series_from_df(iris, type = "point", x = Sepal.Width)
#' @importFrom tibble has_name
#' @importFrom rlang .data
get_hc_series_from_df <- function(data, type = NULL, ...) {
  assertthat::assert_that(is.data.frame(data))
  stopifnot(!is.null(type))

  pars <- eval(substitute(alist(...)))
  parsc <- map(pars, as.character)

  data <- mutate(data, ...)
  data <- ungroup(data)

  # check type
  type <- ifelse(type == "point", "scatter", type)
  type <- ifelse("size" %in% names(data) & type == "scatter", "bubble", type)

  # heatmap
  if (type == "heatmap") {
    if (!is.numeric(data[["x"]])) {
      data[["xf"]] <- as.factor(data[["x"]])
      data[["x"]] <- as.numeric(as.factor(data[["x"]])) - 1
    }
    if (!is.numeric(data[["y"]])) {
      data[["yf"]] <- as.factor(data[["y"]])
      data[["y"]] <- as.numeric(as.factor(data[["y"]])) - 1
    }
  }

  # x
  if (has_name(parsc, "x")) {
    if (is.Date(data[["x"]])) {
      data[["x"]] <- datetime_to_timestamp(data[["x"]])
    } else if (is.character(data[["x"]]) | is.factor(data[["x"]])) {
      data[["name"]] <- data[["x"]]
      data[["x"]] <- NULL
    }
  }

  # color
  if (has_name(parsc, "color")) {
    if (type == "treemap") {
      data <- rename(data, colorValue = .data$color)
    } else {
      data <- mutate(data,
                     colorv = .data$color,
                     color = highcharter::colorize(.data$color))
    }
  }

  # size
  if (has_name(parsc, "size") & type %in% c("bubble", "scatter")) {
    data <- mutate(data, z = .data$size)
  }

  # group
  if (!has_name(parsc, "group")) {
    data[["group"]] <- "Series"
  }

  data[["charttpye"]] <- type

  dfs <- data %>%
    group_by(.data$group, .data$charttpye) %>%
    do(data = list_parse(select(., -.data$group, -.data$charttpye))) %>%
    ungroup() %>%
    rename(name = .data$group, type = .data$charttpye)

  if (!has_name(parsc, "group")) {
    dfs[["name"]] <- NULL
  }

  series <- list_parse(dfs)

  series
}

#' Check if a string vector is in hexadecimal color format
#'
#' @param x A string vectors
#'
#' @examples
#'
#' x <- c("#f0f0f0", "#FFf", "#99990000", "#00FFFFFF")
#'
#' is.hexcolor(x)
#' @export
is.hexcolor <- function(x) {
  pattern <- "^#([A-Fa-f0-9]{6}|[A-Fa-f0-9]{3}|[A-Fa-f0-9]{8})$"

  str_detect(x, pattern)
}

#' Function to generate iids
#' @param n Number of ids
#' @param length Length of ids
random_id <- function(n = 1, length = 10) {
  source <- c(seq(0, 9), letters)

  replicate(n, paste0(sample(x = source, size = length, replace = TRUE), collapse = ""))
}

#' Function to avoid the jsonlite::auto_unbox default
#' @param x And element, numeric or character
#' @examples
#'
#' hchart("A")
#'
#' highchart() %>%
#'   hc_add_series(data = 1)
#'   
#' @noRd   
fix_1_length_data <- function(x) {
  if (getOption("highcharter.verbose")) {
    message("fix_1_length")
  }

  if (!is.list(x) && length(x) == 1) {
    x <- list(x)
  }
  x
}

#' Function to create annotations arguments from a data frame
#' @param df A data frame with `x`, `y` and `text` columns names.
#' @param xAxis Index (js 0-based) of the x axis to put the annotations.
#' @param yAxis Index (js 0-based) of the y axis to put the annotations.
#' @examples
#' 
#' df <- data.frame(text = c("hi", "bye"), x = c(0, 1), y = c(1, 0))
#' 
#' df_to_annotations_labels(df)
#' 
#' @importFrom utils hasName
#' @importFrom dplyr rowwise
#' @export
df_to_annotations_labels <- function(df, xAxis = 0, yAxis = 0) {
  
  stopifnot(hasName(df, "x"))
  stopifnot(hasName(df, "y"))
  stopifnot(hasName(df, "text"))
  
  df %>% 
    rowwise() %>% 
    mutate(point = list(list(x = x, y = y, xAxis = 0, yAxis = 0))) %>% 
    select(-x, -y) %>% 
    list_parse()
  
}
